When would it be more advantageous to use a linked list implementation of a queue over an array-based implementation?
When dynamic resizing and the potential for overflow are concerns.
When memory usage needs to be tightly controlled.
When dealing with a small, fixed number of elements.
When the maximum number of elements in the queue is known in advance.
What is the role of the 'front' pointer in a queue data structure?
It points to the element that has been in the queue the longest.
It keeps track of the total number of elements in the queue.
It determines if the queue is full or not.
It points to the location where the next element will be added.
What is the primary difference between a queue and a stack?
Queues are linear data structures, while stacks are non-linear.
Queues use LIFO (Last-In-First-Out), while stacks use FIFO (First-In-First-Out).
Queues use FIFO (First-In-First-Out), while stacks use LIFO (Last-In-First-Out).
Queues store numbers, while stacks store characters.
What is the maximum number of elements a circular queue of size 'n' can hold?
n + 1
n
n - 1
It depends on the implementation
What value does the 'isEmpty' operation on a queue return if the queue contains no elements?
True
0
-1
The first element in the queue
Consider an array-based queue with 'front' at index 3 and 'rear' at index 7. After two dequeue operations, what will be the new value of 'front'?
2
1
6
5
How does an array-based queue handle the underflow condition?
By dynamically resizing the array.
By raising an exception or returning an error value when attempting to dequeue from an empty queue.
By overwriting the existing elements.
By using a circular array to reuse the empty spaces.
What is the purpose of the 'front' pointer in an array implementation of a queue?
It points to the next available empty location.
It points to the most recently added element.
It tracks the total number of elements in the queue.
What is a potential drawback of implementing a queue using an array with a fixed size?
Inability to store elements of different data types.
Requirement of complex algorithms for insertion and deletion.
Increased time complexity for enqueue and dequeue operations.
Risk of queue overflow if the queue reaches its maximum capacity.
Which real-world scenario best exemplifies the use of a queue data structure?
Storing a family tree with ancestors and descendants
Managing a list of students sorted alphabetically
Tracking the order of tasks assigned to a CPU
Finding the shortest route between two points